Labelbox, a San Francisco, CA-based collaborative training data platform for machine learning applications, raised $10m in Series A funding.
The round was led by Gradient Ventures, Google’s AI-focused venture fund, with participation from previous investors Kleiner Perkins, First Round Capital, and angel investor, Sumon Sadhu. In conjunction with the funding, Anna Patterson, founder and Managing Partner at Gradient Ventures, VP of Engineering at Google, and Square board member, will join Labelbox’s board.
The company intends to use the funds to continue building the solution, to double its headcount in 2019 by hiring additional talent to fill engineering, sales, marketing, and customer success roles.
Founded in 2018 by Manu Sharma, CEO, Labelbox is a collaborative platform for machine learning teams to create and manage labeled training data for computer vision applications.
The platform, which acts as a central hub for humans to interface with AI, is used by such customers as FLIR Systems, Lytx, Airbus, Genius Sports, KeepTruckin and thousands of users worldwide.